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#sglang

The latest AI and developer news about #sglang, with the original source and a short summary.

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Comparison of Features and Use Cases for 8 LLM Inference Stacks

·2026.09.19 01:00

NVIDIA Dynamo Unveils Vision Encoder Disaggregated Serving Technology

·2026.09.11 07:00

NVIDIA Releases Model Lightweighting Tool

·1·2026.09.02 09:00

SGLang Achieves Up to 6.24x Speedup in MiniMax-H3 Video Generation Using Cache-DiT and SubBlock

·2026.08.28 09:00

LLM Serving: The Difference Between Launching and Launching Well

·1·2026.08.21 10:00

LFM2.5 Inference Accelerated 3.2x with DSpark

·2026.08.21 01:00

DFlash 2: Maintaining Parallel Drafting

·2026.08.20 05:00

Miles v0.1: Production-Level Post-Training (20-minute read)

·2026.08.19 09:00

Smaller, Faster, Safer: Running Kimi and GLM at Scale

·2026.08.03 22:00

Predictive Speculative KV Replication for Bursty LLM Inference

·2026.08.01 04:00

Inference Engine Support Status for Ling-3.0-flash

·2026.07.28 01:00

Agent-Based Development Approach for SGLang

·2026.07.03 09:00

Miles: A PyTorch-Native Stack for Large-Scale LLM RL Post-Training

·2026.07.01 09:00

DFlash and Spec V2 Decoding Technology

·2026.06.16 09:00

OSCAR: 2-bit KV Cache Quantization Technique Released

·2026.06.10 04:00

The Reality Behind Alibaba T-Head's AI Stack

·2026.06.05 07:00

Qwen3.7: The Agentic Frontier

·1·2026.05.20 11:00

Making LLMs Faster Without Sacrificing Accuracy

·2026.05.15 22:00

MiniCPM-V 4.6 Released

·2026.05.12 18:00

SGLang fixes FP8 KV corruption and memory leak

·2026.05.01 21:00

Qwen3.6 35B Speed Test

·2026.04.28 11:00

GLM 5.1 running locally at 40tps

·2026.04.26 01:00

27B GGUF Released

·2026.04.22 23:00

Cautions When Fine-Tuning and Deploying Gemma-4

·2026.04.19 07:00

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#sglang | AI Briefing